Staff Forward Deployment Engineer

Must-Have

• 9+ years of professional software engineering experience building and operating production systems.
• Strong proficiency in Python with a proven track record of writing maintainable, well-tested code.
• Experience designing and building backend services, APIs, and distributed systems.
• Practical experience applying GenAI or LLM-based systems in real-world applications (e.g., RAG pipelines, agent workflows, LLM-backed services).
• Experience leading or owning technical delivery for customer-facing projects.
• Strong understanding of system reliability, observability, and operational best practices.
• Excellent communication skills and ability to collaborate with engineering, product, and customer stakeholders.
• Willingness to travel up to 20% for key customer engagements.
• Nice-to-Have
• Experience delivering software in regulated or policy-heavy domains (e.g., finance, lending, healthcare, insurance).
• Familiarity with vector databases, semantic search, or knowledge retrieval systems.
• Experience contributing to shared libraries, internal platforms, or reusable engineering components.
• Prior experience in a fast-paced startup or early-stage product environment.
• Attributes We Value
• Hands-On Leadership: You lead by building, reviewing, and guiding—not by delegating everything.
• Engineering Excellence: You care deeply about correctness, reliability, and long-term maintainability.
• Customer Empathy: You understand enterprise constraints and design systems accordingly.
• Ownership & Accountability: You take responsibility for outcomes, not just tasks.
• Collaboration & Mentorship: You raise the bar for those around you.
• Why Join JazzX AI:
• What draws people to JazzX AI is the opportunity to build something truly foundational.
• We are at the beginning of a new era — one where enterprise systems will no longer be static tools, but dynamic collaborators that learn, reason, and evolve alongside the people who use them. At JazzX AI, you’ll help build a platform that redefines how work happens in the AGI era.